Hi Oleg,

There isn't much you need to do to setup a Yarn cluster to run PySpark. You need to make sure all machines have python installed, and... that's about it. Your assembly jar will be shipped to all containers along with all the pyspark and py4j files needed. One caveat, however, is that the jar needs to be built in maven and not on a Red Hat-based OS,

http://spark.apache.org/docs/latest/building-with-maven.html#building-for-pyspark-on-yarn

In addition, it should be built with Java 6 because of a known issue with building jars with Java 7 and including python files in them (https://issues.apache.org/jira/browse/SPARK-1718). Lastly, if you have trouble getting it to work, you can follow the steps I have listed in a different thread to figure out what's wrong:

http://mail-archives.apache.org/mod_mbox/spark-user/201406.mbox/%3cCAMJOb8mr1+ias-SLDz_RfRKe_nA2UUbNmHraC4NUKqYqNUNHuQ@mail.gmail.com%3e

Let me know if you can get it working,
-Andrew





2014-09-03 5:03 GMT-07:00 Oleg Ruchovets <oruchovets@gmail.com>:
Hi all.
   I am trying to run pyspark on yarn already couple of days:

http://hortonworks.com/kb/spark-1-0-1-technical-preview-hdp-2-1-3/

I posted exception on previous posts. It looks that I didn't do correct configuration.
  I googled quite a lot and I can't find the steps should be done to configure PySpark running on Yarn.

Can you please share the steps (critical points) should be configured to use PaSpark on Yarn ( hortonworks distribution) : 
  Environment variables.
  Classpath
  copy jars to all machine
  other configuration.

Thanks
Oleg.